- point estimator
- Макаров: точечная оценка
Универсальный англо-русский словарь. Академик.ру. 2011.
point estimator
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Estimator — In statistics, an estimator is a function of the observable sample data that is used to estimate an unknown population parameter (which is called the estimand ); an estimate is the result from the actual application of the function to a… … Wikipedia
Point estimation — In statistics, point estimation involves the use of sample data to calculate a single value (known as a statistic) which is to serve as a best guess for an unknown (fixed or random) population parameter.More formally, it is the application of a… … Wikipedia
point estimation — Statistics. the process of determining a single estimated value (point estimate) of a parameter of a given population. Cf. interval estimation. [1960 65] * * * ▪ statistics in statistics, the process of finding an approximate value of some… … Universalium
Bayes estimator — In decision theory and estimation theory, a Bayes estimator is an estimator or decision rule that maximizes the posterior expected value of a utility function or minimizes the posterior expected value of a loss function (also called posterior… … Wikipedia
Consistent estimator — {T1, T2, T3, …} is a sequence of estimators for parameter θ0, the true value of which is 4. This sequence is consistent: the estimators are getting more and more concentrated near the true value θ0; at the same time, these estimators are biased.… … Wikipedia
James-Stein estimator — The James Stein estimator is a nonlinear estimator which can be shown to dominate, or outperform, the ordinary (least squares) technique. As such, it is the best known example of Stein s phenomenon.An earlier version of the estimator was… … Wikipedia
L-estimator — In robust statistics, an L estimator is an estimator which equals a linear combination of order statistics of the measurements.Consider, for example, the median. Given n measurements x 1, ldots, x n, where n is odd, the median equals x… … Wikipedia
Minimax estimator — In statistical decision theory, where we are faced with the problem of estimating a deterministic parameter (vector) from observations an estimator (estimation rule) is called minimax if its maximal risk is minimal among all estimators of . In a… … Wikipedia
Redescending M-estimator — Redescending M estimators are very popular Ψ type M estimators which have Ψ functions that are non decreasing near the origin, but decreasing toward 0 far from the origin. Their ψ functions can be chosen to redescend smoothly to zero, so that… … Wikipedia
Delaunay tessellation field estimator — The reconstruction of a density field from a discrete set of points sampling this field. The Delaunay tessellation field estimator (DTFE) is a mathematical tool for reconstructing a volume covering and continuous density or intensity field from a … Wikipedia
Newey–West estimator — A Newey–West estimator is used in statistics and econometrics to provide an estimate of the covariance matrix of the parameters of a regression type model when this model is applied in situations where the standard assumptions of regression… … Wikipedia
